Master of Science in Data Science and Analytics
offered by Florida Atlantic University

Public University
6 Campuses
Estd. 1961

Master of Science in Data Science and Analytics
at
FAU
Overview

Equip students with advanced skills in programming languages such as Python, R, SQL, and tools/frameworks like TensorFlow, PyTorch, Apache Spark, and Hadoop for data manipulation, analysis, and visualization

Duration	24 months
Start from	Start Now
Mode of learning	Online
Official Website	Go to Website
Course Level	PG Degree

Master of Science in Data Science and Analytics
at
FAU
Highlights

Earn a degree from Florida Atlantic University
Learn from expert faculty
Financial aid available

Master of Science in Data Science and Analytics
at
FAU
Course details

Skills you will learn

Spark Data mining R Python Hadoop Data Science Statistics Data visualization Predictive modeling Forecasting Big Data

Who should do this course?

For individuals who wants to enhance their knowledge & skills in the field

What are the course deliverables?

Accessing, collecting, auditing, and cleaning data from applications and systems into a usable state
Creating and maintaining efficient databases
Building data pipelines
Monitoring and managing all the data systems (scalability, security, etc)
Implementing data scientists’ output in a scalable manner
Gain problem solving skills. At heart, analytics is all about solving problems
High demand. This is the obvious benefit to learning data analytics

More about this course

Data analytics provide you with more insights into your customers, allowing you to tailor customer service to their needs, provide more personalization and build stronger relationships with them
Your data can reveal information about your customers' communications preferences, their interests, their concerns and more
Data Science and Engineering - More than often, Engineers have abundant data in front of them, but aren't equipped to handle such large amounts of data
That's when Data Science skills become a valuable addition to their current skill set for Engineers to make sense out of the data and avoid wastage of useful data

Master of Science in Data Science and Analytics
at
FAU
Curriculum

Foundations of Data Science

Statistical Analysis and Modeling

Machine Learning Algorithms

Big Data Analytics

Data Mining and Pattern Recognition

Predictive Modeling and Forecasting

Natural Language Processing (NLP)

Deep Learning and Neural Networks

Master of Science in Data Science and Analytics
at
FAU
Entry Requirements

Eligibility criteria Up Arrow Icon

Education: Bachelor degree from recognised university

Conditional Offer Up Arrow Icon

Yes
Conditional admission is the status given to qualified students who fulfill all admission requirements except for those related to English language ability. Intensive English Track (IEI) students who are committed to attending FAU, and wish to have conditional admission status, are encouraged to move to the Intensive English Institute's Conditional Admission Track.
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